{"id":"W4237496913","doi":"10.5383/ijtee.17.02.002","title":"Analysis and Synthesis of Electrocardiogram (ECG) using Fourier and Wavelet Transform","year":2020,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wavelet; Wavelet transform; Computer science; Frequency domain; Fourier transform; SIGNAL (programming language); Harmonic wavelet transform; Fourier analysis; Signal processing; Fast Fourier transform; Time domain; Artificial intelligence; MATLAB; Discrete wavelet transform; Pattern recognition (psychology); Speech recognition; Electronic engineering; Digital signal processing; Algorithm; Mathematics; Computer vision; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007265206,0.00007257332,0.0002320745,0.0001311785,0.00001264525,0.00001075738,0.00003616445,0.00002560881,0.00001113701],"category_scores_gemma":[0.00001532443,0.0000601152,0.0001200921,0.00005863649,0.00002755047,0.00007142059,0.00001870175,0.00008890357,7.294977e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001951699,"about_ca_system_score_gemma":0.000003386715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001082756,"about_ca_topic_score_gemma":1.236298e-7,"domain_scores_codex":[0.9994853,0.000005567254,0.0001903519,0.00006874619,0.0001869062,0.00006314243],"domain_scores_gemma":[0.9997745,0.00002817965,0.00006647072,0.00002505276,0.000008826385,0.00009700799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002921553,0.00008416156,0.3106279,0.00007370427,0.008235954,0.0001163513,0.0005652697,0.01003352,0.5023271,0.000004254865,0.000001292593,0.1676383],"study_design_scores_gemma":[0.001574855,0.0003899231,0.278886,0.0001962669,0.004756152,0.000581593,0.0004341538,0.5920604,0.1205887,0.000007169805,0.0002754237,0.0002494222],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993286,0.0006344083,0.005689028,0.0003262332,0.00002361675,0.0000163926,0.000006805378,0.000002805754,0.00001469361],"genre_scores_gemma":[0.9958489,0.0005642311,0.003419362,0.00002408701,0.0001307058,3.248146e-7,0.000001364705,0.000007004052,0.000004023268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5820269,"threshold_uncertainty_score":0.2451427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005922767475650722,"score_gpt":0.2021460363974231,"score_spread":0.1962232689217724,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}